A new dataset and benchmark maps movie clips to distributions of audience emotional reactions derived from YouTube comments, showing that finetuned vision-language models can predict these distributions from video alone.
In: Proceedings of the 36th annual acm symposium on user interface software and technology
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild
A new dataset and benchmark maps movie clips to distributions of audience emotional reactions derived from YouTube comments, showing that finetuned vision-language models can predict these distributions from video alone.